Detection of unintentional air leaks in a user interface (e.g., mask) of a respiratory therapy system (e.g., a positive air pressure device) is disclosed. One or more sensors (e.g., within a computing device, such as a smartphone) can be moved around relative to the user interface to determine a location and/or intensity of an air leak. The computing device can provide feedback regarding the location and/or intensity of the air leak to facilitate the user locating the air leak, and thus correcting the air leak. In some cases, augmented reality annotations can be overlaid on an image (e.g., live image) of the user wearing the user interface to identify the location of the air leak. The system can automatically detect the type of user interface being used and can provide tailored guidance for reducing the air leaks.

Apparatuses and methods for treating neurological and/or neuropsychiatric disorders are by application of thermal energy to the patient's forehead region, for example, by maintaining a target temperature or temperature range to the forehead of a patient for a time period. In particular, described herein are regional brain cooling mechanisms to treat neuropsychiatric disorders such as depression, anxiety, and autism.

Apparatuses and methods for treating neurological and/or neuropsychiatric disorders are by application of thermal energy to the patient's forehead region, for example, by maintaining a target temperature or temperature range to the forehead of a patient for a time period. In particular, described herein are regional brain cooling mechanisms to treat neuropsychiatric disorders such as depression, anxiety, and autism.

Devices and systems with methods for detecting a sealing condition between a patient interface and a patient, and adjusting the patient interface to maintain the patient interface in sealing contact with the patient. The patient interface may include a sealing structure to form a seal on the patient, and a positioning structure to secure the sealing structure to the patient. The patient interface may include a sensor coupled to the sealing structure. A processor determines the sealing condition between the sealing structure and the patient based on a signal from the sensor, and adjusts at least one of the sealing structure and the positioning structure to maintain the sealing structure in sealing contact with the patient. A prediction system predicts a leak between the sealing structure and the patient based on the sensor signal. A learning system learns how to fit the sealing structure to the patient to form a seal.

The present disclosure relates to a method for identifying a user interface. Flow data associated with air flowing in a respiratory therapy system is received. Acoustic data associated with the respiratory therapy system is received. The received flow data and the received acoustic data are analyzed. Based at least in part on the analysis, a mask type for the user interface is determined.

The disclosed device serves for artificial respiration and has a blower connected to a control. The blower is held by a supporting part, which assumes the task of decoupling and other functions. The blower and the supporting part are arranged in a blower box. Both the control and the blower box are arranged in a housing. The control is connected to at least one indicating device and also to at least one operating element.

A process and apparatus monitor a ventilator (100). The ventilator (100) performs supportive artificial ventilation including a sequence of ventilation strokes, with the objective that each inspiration effort of the patient (Pt) triggers a ventilation stroke and the start and the end of the ventilation stroke coincide with the start and the end of the inspiration effort, respectively. A monitoring unit (11) detects deviations between the patient's own inspiratory efforts and the artificial ventilation and determines a respective measure for the respective frequency and/or duration for different possible asynchrony types.

A process and apparatus monitor a ventilator (100). The ventilator (100) performs supportive artificial ventilation including a sequence of ventilation strokes, with the objective that each inspiration effort of the patient (Pt) triggers a ventilation stroke and the start and the end of the ventilation stroke coincide with the start and the end of the inspiration effort, respectively. A monitoring unit (11) detects deviations between the patient's own inspiratory efforts and the artificial ventilation and determines a respective measure for the respective frequency and/or duration for different possible asynchrony types.

A reality system includes a display aimed at a retina, the display providing 3D images with different depth view points; a glass to selectably turn on or off view of an outside environment in front of the person's eye; a processor coupled to the camera and to the glass to selectably switch between augmented reality and virtual reality; and a wireless transceiver coupled to the transceiver to communicate with a remote processor.

The present invention is a respiratory monitoring device which uses 2+ sensors to map respiratory motion in patients to interpret into a respiratory effort and severity score. The core components of the invention are contact-based sensors that measure relative motion of the chest, abdomen, and/or other key anatomical features, a processing unit which takes in the data from all sensors, an algorithm that analyzes and compares the data from each sensor to understand relative motion and interpret it into clinically-relevant information, and a display screen that shares this information with clinicians. The sensors are connected to each other and the information processing unit which shares data with the screen for display of a respiratory severity score based on analysis of Thoraco-Abdominal Asynchrony (TAA) or similar indicators of respiratory effort as measured by the sensor network and analyzed by the algorithm.